Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep ...
Sam Charrington
William Blake's Religious Vision: There's a Methodism in His ...
Jennifer G. Jesse
John Dewey in China: To Teach and to Learn
Jessica Ching-Sze Wang
Contributions to the Theory of Riemann Surfaces. (AM-30), Volume ...
Lars Valerian Ahlfors & E. Calabi & Marston Morse & Leo Sario & Donald Clayton Spencer
Philosophy of Language - Chapter 4
Klaus Jacobi
Advanced Analytics with Pyspark: Patterns for Learning From ...
Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills
Applied Machine Learning and AI for Engineers: Solve Business ...
Jeff Prosise & Adam Prosise
Applied Machine Learning Solutions with Python: Production-ready ...
Siddhanta Bhatta
Artificial Intelligence and Machine Learning Fundamentals: Develop ...
Zsolt Nagy
ChatGPT Money Machine 2024 - The Ultimate Chatbot Cheat Sheet ...
Alec Rowe
Computational Modeling and Data Analysis in COVID-19 Research
Chhabi Rani Panigrahi & Bibudhendu Pati & Mamata Rath & Rajkumar Buyya
Data Science from Scratch
Steven Cooper
Deep Learning With Python, Second Edition
François Chollet
Designing Deep Learning Systems: A Software Engineer's Guide
Chi Wang & Donald Szeto
Developing Apps With Gpt-4 and Chatgpt: Build Intelligent Chatbots, ...
Olivier Caelen & Marie-Alice Blete
Effective Data Science Infrastructure: How to Make Data Scientists ...
Ville Tuulos
Essential Math for Data Science: Take Control of Your Data With ...
Thomas Nield
Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
Michael Lanham
Hands-On Entity Resolution: A Practical Guide to Data Matching ...
Michael Shearer
Image Processing and Machine Learning, Volume 2
Erik Cuevas & Alma Rodriguez
Incremental Version-Space Merging: A General Framework for Concept ...
Haym Hirsh
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Clement Stenac & Leo Dreyfus-Schmidt & Kenji Lefevre & Nicolas Omont & Mark Treveil
Learn Autonomous Programming With Python: Utilize Python’s Capabilities ...
Varun P Divadkar
Machine Learning
Tom M. Mitchell